Suppr超能文献

将基于环孢菌素的电极的电位选择性与电喷雾电离质谱获得的结合模式相关联。

Correlating the potentiometric selectivity of cyclosporin-based electrodes with binding patterns obtained from electrospray ionization-mass spectrometry.

机构信息

Department of Chemistry, University of Miami, Coral Gables, FL 33124, USA.

出版信息

Analyst. 2017 Aug 21;142(17):3241-3249. doi: 10.1039/c6an01252c.

Abstract

Electrospray ionization mass spectrometry ESI-MS is a powerful technique for the characterization of macromolecules and their noncovalent binding with guest ions. We herein evaluate the feasibility of using ESI-MS as a screening tool for predicting potentiometric selectivities of ionophores. Ion-selective electrodes based on the cyclic peptide, cyclosporin A, were developed, and their potentiometric selectivity pattern was evaluated. Optimized electrodes demonstrated near-Nernstian slopes with micromolar detection limits toward calcium. ESI-MS and ESI-MS/MS were employed to determine the relative association strengths of cyclosporin A with various cations. The observed MS intensities of ion-ionophore complexes correlate favorably with the potentiometric selectivity pattern that was demonstrated by cyclosporin-based electrodes. This correlation was found to hold true for other established ionophores, such as valinomycin and benzo-18-crown-6. Taken together, these experiments demonstrate that mass spectrometry could be used to predict the selectivity patterns of new ionophores for potentiometric and optical ion sensors. Further, this approach could be useful in screening mixtures or libraries of newly-synthesized compounds to identify selective ionophores.

摘要

电喷雾电离质谱(ESI-MS)是一种强大的技术,可用于表征大分子及其与客体离子的非共价结合。本文评估了使用 ESI-MS 作为预测离子载体电位选择性的筛选工具的可行性。开发了基于环状肽环孢菌素 A 的离子选择性电极,并评估了其电位选择性模式。优化后的电极对钙表现出近理想的 Nernst 斜率和微摩尔检测限。ESI-MS 和 ESI-MS/MS 用于确定环孢菌素 A 与各种阳离子的相对缔合强度。观察到的离子-载体复合物的 MS 强度与基于环孢菌素的电极所表现出的电位选择性模式很好地相关。这种相关性对于其他已建立的离子载体,如缬氨霉素和苯并-18-冠-6 也成立。综上所述,这些实验表明,质谱可用于预测新离子载体在电位和光学离子传感器中的选择性模式。此外,该方法可用于筛选新合成化合物的混合物或文库,以鉴定选择性离子载体。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验